Physics and Quantum Computing skills for Claude Code and Codex
Skills for physics, math and quantum computing: Qiskit, Cirq, PennyLane, QuTiP and CUDA-Q circuits, Astropy for astronomy, fluid dynamics with FluidSim and OpenPIV, Earth2Studio weather and climate models, PhysicsNeMo, symbolic math with SymPy, Lean proofs, cuOpt optimization and unit-aware calculations. They give an agent the library knowledge each field depends on.
- 26 listed skills
- 5 repositories
- 0 with full pages
14 from official publishers. 7 bundle scripts. 4 connect to an outside service. Listed in Science and Research (25), AI Agents and LLM Engineering (1).
All 26 physics skills
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| Skill | Repository | What it does |
|---|---|---|
| astropy 85/100 · B | K-Dense-AI/claude-scientific-skills | Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time… |
| cirq 87/100 · B | K-Dense-AI/claude-scientific-skills | Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum… |
| cudaq-guide 79/100 · C | NVIDIA/skills | Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance. |
| cudaq-importing 81/100 · B | NVIDIA/skills | Use when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the source algorithm and validation fidelity. |
| cuopt-multi-objective-exploration 70/100 · C | NVIDIA/skills | Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and… |
| cuopt-numerical-optimization-formulation 68/100 · D | NVIDIA/skills | LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API. |
| earth2studio-create-datasource 85/100 · B | NVIDIA/skills | Create and validate Earth2Studio data source wrappers (DataSource, ForecastSource, DataFrameSource, ForecastFrameSource) from remote stores. Do NOT… |
| earth2studio-create-diagnostic 85/100 · B | NVIDIA/skills | Create Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel… |
| earth2studio-create-prognostic 83/100 · B | NVIDIA/skills | Create Earth2Studio prognostic (time-stepping forecast) model wrappers. Do NOT use for diagnostic models, data sources, or installation. |
| earth2studio-data-fetch 82/100 · B | NVIDIA/skills | Fetch weather/climate data via Earth2Studio data sources for specific variables and times. Do NOT use for inference pipelines, model discovery, or… |
| earth2studio-deterministic-forecast 85/100 · B | NVIDIA/skills | Build deterministic forecast scripts with Earth2Studio (model, data source, IO, inference). Do NOT use for ensemble, diagnostics, data-only fetch… |
| earth2studio-discover 82/100 · B | NVIDIA/skills | Find Earth2Studio models, data sources, and examples for a weather/climate use case. Do NOT use for writing inference code, downloading data, or… |
| earth2studio-install 82/100 · B | NVIDIA/skills | Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment. Do NOT use for writing inference code… |
| fluidsim 89/100 · B | K-Dense-AI/claude-scientific-skills | Plans, configures, inspects, restarts, and analyzes bounded FluidSim computational-fluid-dynamics simulations with explicit numerical-validity and… |
| hyperlocal-weather-precip 69/100 · D | gooseworks-ai/goose-skills | Hyperlocal weather data - precipitation, temperature, wind, soil moisture and more |
| openpiv 89/100 · B | K-Dense-AI/claude-scientific-skills | Performs Particle Image Velocimetry (PIV) analysis with OpenPIV. Use when extracting velocity fields from PIV image pairs, analyzing fluid dynamics… |
| pennylane 87/100 · B | K-Dense-AI/claude-scientific-skills | Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum… |
| physicsnemo-discover 85/100 · B | NVIDIA/skills | Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates… |
| physicsnemo-shard-tensor 83/100 · B | NVIDIA/skills | Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new… |
| qiskit 87/100 · B | K-Dense-AI/claude-scientific-skills | Builds, simulates, transpiles, and executes quantum circuits with Qiskit and IBM Quantum Runtime. Use for Qiskit 2.x circuits and operators, V2… |
| qutip 87/100 · B | K-Dense-AI/claude-scientific-skills | Simulate and audit closed and open quantum-system models with QuTiP 5, including deterministic, trajectory, steady-state, spectral, and phase-space… |
| simpy 89/100 · B | K-Dense-AI/claude-scientific-skills | Builds, inspects, tests, and analyzes bounded process-based discrete-event simulations with SimPy. Use for event scheduling, resource queues… |
| sympy 87/100 · B | K-Dense-AI/claude-scientific-skills | Performs exact symbolic mathematics with SymPy for algebra, calculus, equation solving, symbolic linear algebra, physics, and lambdify or LaTeX code… |
| time-stepping 84/100 · B | HeshamFS/materials-simulation-skills | Plan and control time-step policies for transient simulations — couple CFL and physics-based stability limits with adaptive stepping, ramp initial… |
| uncertainty-and-units 90/100 · A | K-Dense-AI/claude-scientific-skills | Tracks physical units and propagates measurement uncertainty in scientific calculations using pint and uncertainties. Use for unit conversion and… |
| writing-lean-proofs 87/100 · B | trailofbits/skills | Writes and reviews structured Lean 4 proofs and designs Lean libraries following Mathlib conventions. Use when proving theorems in Lean, formalizing… |
How to choose physics skills
Choose by framework and hardware. Qiskit targets IBM Quantum, Cirq targets Google Quantum AI, and CUDA-Q targets NVIDIA GPUs and QPUs; each skill follows its own SDK version.
Weather and climate skills from Earth2Studio split the work into install, data fetch, model wrappers and forecasts. Install them as a set so they hand off cleanly.
For calculations people will rely on, add uncertainty-and-units or SymPy so units and exact results are checked, and keep the script that produced each number.
Related topics
Materials Science and Simulation 31Chemistry and Drug Discovery 28Statistics 12
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